How Studio 10 achieved 2.59x blended ROAS and 3,921 orders with a dual-channel paid strategy

Studio 10 is a UK pro-age beauty brand formulated specifically for women with mature skin. Generate Agency built a dual-channel paid media strategy across Meta and Google, aligning messaging to a high-intent audience and structuring campaigns to work together. The result was a 2.59x blended ROAS, 3,921 orders, and paid ads driving 84% of total store revenue.

84% of store revenue from paid ads

OUR RESULTS

2.59
x
Blended ROAS across Meta and Google
3,921
Orders generated through paid activity
84
%
Store revenue driven by paid ads
6.35
x
Google ROAS (Linear Paid view peak)
10.29
x
Google ROAS (Triple Attribution peak)
2.19
x
Meta ROAS best performing week (Linear Paid)

THE PROBLEM

Studio 10 operates in a distinct segment of the beauty market, serving women with mature skin through a pro-age positioning. This creates a strong commercial advantage, but only if the right audience is reached with the right message. The challenge was to build a paid strategy that could drive direct-to-consumer growth without diluting the brand’s identity, while ensuring both Meta and Google worked efficiently rather than competing for the same conversions.

WHAT WE DID

1. Built a Meta Ads strategy aligned to a pro-age audience

We developed creative and messaging that spoke directly to women seeking makeup for mature skin, ensuring the brand’s positioning was reflected clearly and authentically.

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2. Launched and scaled Google Ads for high-intent demand

Google campaigns targeted users actively searching for pro-age and mature skin beauty solutions, capturing customers at the point of purchase intent.

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3. Structured Meta and Google to work in tandem

Meta was positioned to drive awareness and consideration, while Google captured demand and converted high-intent users, improving overall efficiency across the funnel.

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4. Optimised performance using Triple Whale data

All performance was tracked via a 28-day linear paid view model, allowing for consistent budget allocation based on accurate cross-channel data.

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5. Prioritised new customer acquisition

Campaigns were structured to track and optimise for new customer revenue, ensuring growth came from expanding the customer base rather than repeat purchases alone.

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THE RESULTS

Revenue and efficiency

  • 2.59x blended ROAS across Meta and Google
  • 3,921 total orders generated through paid activity
  • 84% of total store revenue attributed to paid ads

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Google Ads performance

  • 6.35x ROAS peak on linear paid view
  • 10.29x ROAS peak on triple attribution
  • Strong conversion rates driven by high-intent search demand

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Meta Ads performance

  • Best week delivered 2.19x ROAS (linear paid view)
  • 3.32x ROAS on triple attribution with view-through included
  • Consistent contribution to awareness and consideration

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Channel interaction

  • Meta drove discovery and audience expansion
  • Google captured purchase intent and converted demand
  • Both channels operated profitably and simultaneously

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Measurement and growth

  • Performance tracked via Triple Whale using a 28-day linear paid view model
  • Clear visibility into cross-channel contribution and efficiency
  • Focus maintained on new customer acquisition and scalable growth

FAQs

Why does a pro-age beauty brand benefit from Google Ads?

Because the audience is highly intentional. Customers actively search for products suited to mature skin, making high-intent search traffic particularly valuable.

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How did Meta and Google avoid overlapping?

Each channel had a defined role. Meta drove awareness and consideration, while Google captured and converted high-intent demand.

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Why is 84% ad-attributed revenue significant?

It shows paid media was the primary driver of direct-to-consumer growth, not a supporting channel.

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How was new customer acquisition prioritised?

New customer metrics were tracked separately and optimised alongside ROAS to ensure sustainable growth.

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What made the strategy effective?

Clear channel roles, audience-specific messaging, and independent tracking that ensured budget decisions were based on accurate data.

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